Cyst-X: AI-Powered Pancreatic Cancer Risk Prediction from Multicenter MRI in Centralized and Federated Learning. Pan, H., Durak, G., Keles, E., Seyithanoglu, D., Zhang, Z., Medetalibeyoglu, A., Aktas, H. E., Bejar, A. M., Hong, Z., Taktak, Y., Kartal, G. D., Erturk, S. M., Cebeci, T., Gonzalez, M. J., Velichko, Y., Zhao, L., Agarunov, E., Salanitri, F. P., Spampinato, C., Tiwari, P., Xu, Z., Jambawalikar, S., Schoots, I. G., Bruno, M. J., Huang, C., Bolan, C. W., Gonda, T., Miller, F. H., Keswani, R. N., Wallace, M. B., & Bagci, U. CoRR, 2025.
Cyst-X: AI-Powered Pancreatic Cancer Risk Prediction from Multicenter MRI in Centralized and Federated Learning [link]Paper  doi  bibtex   
@article{DBLP:journals/corr/abs-2507-22017,
  author       = {Hongyi Pan and
                  Gorkem Durak and
                  Elif Keles and
                  Deniz Seyithanoglu and
                  Zheyuan Zhang and
                  Alpay Medetalibeyoglu and
                  Halil Ertugrul Aktas and
                  Andrea Mia Bejar and
                  Ziliang Hong and
                  Yavuz Taktak and
                  Gulbiz Dagoglu Kartal and
                  Sukru Mehmet Erturk and
                  Timurhan Cebeci and
                  Maria Jaramillo Gonzalez and
                  Yury Velichko and
                  Lili Zhao and
                  Emil Agarunov and
                  Federica Proietto Salanitri and
                  Concetto Spampinato and
                  Pallavi Tiwari and
                  Ziyue Xu and
                  Sachin Jambawalikar and
                  Ivo G. Schoots and
                  Marco J. Bruno and
                  Chenchan Huang and
                  Candice W. Bolan and
                  Tamas Gonda and
                  Frank H. Miller and
                  Rajesh N. Keswani and
                  Michael B. Wallace and
                  Ulas Bagci},
  title        = {Cyst-X: AI-Powered Pancreatic Cancer Risk Prediction from Multicenter
                  {MRI} in Centralized and Federated Learning},
  journal      = {CoRR},
  volume       = {abs/2507.22017},
  year         = {2025},
  url          = {https://doi.org/10.48550/arXiv.2507.22017},
  doi          = {10.48550/ARXIV.2507.22017},
  eprinttype    = {arXiv},
  eprint       = {2507.22017},
  timestamp    = {Fri, 12 Sep 2025 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2507-22017.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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